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Impact of the Ebola virus disease outbreak (2014–2016) on tuberculosis surveillance activities by Guinea’s National Tuberculosis Control Program: a time series analysis
BACKGROUND: Most countries in Subsaharan Africa have well-established National Tuberculosis Control Programs with relatively stable routine performances. However, major epidemiological events may result in significant disruptions. In March 2014, the World Health Organization announced the outbreak o...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7405363/ https://www.ncbi.nlm.nih.gov/pubmed/32753044 http://dx.doi.org/10.1186/s12889-020-09230-2 |
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author | Magassouba, Aboubacar Sidiki Diallo, Boubacar Djelo Camara, Lansana Mady Sow, Kadiatou Camara, Souleymane Bah, Boubacar Barry, Alpha Oumar Diallo, Thierno Hassane Camara, Aboubacar Bangoura, Adama Marie Sow, Oumou Younoussa |
author_facet | Magassouba, Aboubacar Sidiki Diallo, Boubacar Djelo Camara, Lansana Mady Sow, Kadiatou Camara, Souleymane Bah, Boubacar Barry, Alpha Oumar Diallo, Thierno Hassane Camara, Aboubacar Bangoura, Adama Marie Sow, Oumou Younoussa |
author_sort | Magassouba, Aboubacar Sidiki |
collection | PubMed |
description | BACKGROUND: Most countries in Subsaharan Africa have well-established National Tuberculosis Control Programs with relatively stable routine performances. However, major epidemiological events may result in significant disruptions. In March 2014, the World Health Organization announced the outbreak of Ebola virus disease in Guinea, a country with a high incidence of TB and HIV. Our study aimed to assess the impact of the Ebola virus disease outbreak on TB notification, treatment, and surveillance, using main indicators. METHODS: This is a retrospective cohort study that compared TB trends using surveillance data from the periods before (2011–2013), during (2014–2016), and after (2017–2018) Ebola virus disease outbreak. A time-series analysis was conducted to investigate the linkages between the decline in TB notification and the Ebola virus disease outbreak through cross-correlation. The lag in the cross-correlation test was evaluated using ANCOVA type II delayed variable dependent model. The surveillance system was assessed using TB surveillance standards and benchmarks and vital registration systems recommended by WHO, compared with those of 2015 during the Ebola virus disease. RESULTS: The rate of reporting of TB declined from 120 cases per 100,000 in 2011 to 100 cases per 100,000 in 2014, at the peak of the Ebola virus disease outbreak. The time-series cross-correlation test of all notified cases of TB and Ebola showed a significant lag of − 0.4 (40%), reflecting a drop in the rate of notification (F-value = 5.7 [95% CI: 0.2–21.3]). The Ebola virus disease had no negative impact on patient treatment outcomes (F-value = 1.3 [95% CI: 0.0–8.8]). Regarding the surveillance system, five out of 13 WHO standards and benchmarks were met following their evaluation in 2019, after the Ebola virus disease outbreak, compared to three in 2015. CONCLUSION: Major epidemics such as the Ebola virus disease outbreak may have a significant impact on well-established TB control programs as shown in the example of Guinea. Sudden disruptions of routine performance may lead programs to improve their surveillance system. The experience acquired in the fight against EVD and the investments made should make it possible to prepare the health system in a coherent manner for the other probable episodes. |
format | Online Article Text |
id | pubmed-7405363 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74053632020-08-07 Impact of the Ebola virus disease outbreak (2014–2016) on tuberculosis surveillance activities by Guinea’s National Tuberculosis Control Program: a time series analysis Magassouba, Aboubacar Sidiki Diallo, Boubacar Djelo Camara, Lansana Mady Sow, Kadiatou Camara, Souleymane Bah, Boubacar Barry, Alpha Oumar Diallo, Thierno Hassane Camara, Aboubacar Bangoura, Adama Marie Sow, Oumou Younoussa BMC Public Health Research Article BACKGROUND: Most countries in Subsaharan Africa have well-established National Tuberculosis Control Programs with relatively stable routine performances. However, major epidemiological events may result in significant disruptions. In March 2014, the World Health Organization announced the outbreak of Ebola virus disease in Guinea, a country with a high incidence of TB and HIV. Our study aimed to assess the impact of the Ebola virus disease outbreak on TB notification, treatment, and surveillance, using main indicators. METHODS: This is a retrospective cohort study that compared TB trends using surveillance data from the periods before (2011–2013), during (2014–2016), and after (2017–2018) Ebola virus disease outbreak. A time-series analysis was conducted to investigate the linkages between the decline in TB notification and the Ebola virus disease outbreak through cross-correlation. The lag in the cross-correlation test was evaluated using ANCOVA type II delayed variable dependent model. The surveillance system was assessed using TB surveillance standards and benchmarks and vital registration systems recommended by WHO, compared with those of 2015 during the Ebola virus disease. RESULTS: The rate of reporting of TB declined from 120 cases per 100,000 in 2011 to 100 cases per 100,000 in 2014, at the peak of the Ebola virus disease outbreak. The time-series cross-correlation test of all notified cases of TB and Ebola showed a significant lag of − 0.4 (40%), reflecting a drop in the rate of notification (F-value = 5.7 [95% CI: 0.2–21.3]). The Ebola virus disease had no negative impact on patient treatment outcomes (F-value = 1.3 [95% CI: 0.0–8.8]). Regarding the surveillance system, five out of 13 WHO standards and benchmarks were met following their evaluation in 2019, after the Ebola virus disease outbreak, compared to three in 2015. CONCLUSION: Major epidemics such as the Ebola virus disease outbreak may have a significant impact on well-established TB control programs as shown in the example of Guinea. Sudden disruptions of routine performance may lead programs to improve their surveillance system. The experience acquired in the fight against EVD and the investments made should make it possible to prepare the health system in a coherent manner for the other probable episodes. BioMed Central 2020-08-04 /pmc/articles/PMC7405363/ /pubmed/32753044 http://dx.doi.org/10.1186/s12889-020-09230-2 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Magassouba, Aboubacar Sidiki Diallo, Boubacar Djelo Camara, Lansana Mady Sow, Kadiatou Camara, Souleymane Bah, Boubacar Barry, Alpha Oumar Diallo, Thierno Hassane Camara, Aboubacar Bangoura, Adama Marie Sow, Oumou Younoussa Impact of the Ebola virus disease outbreak (2014–2016) on tuberculosis surveillance activities by Guinea’s National Tuberculosis Control Program: a time series analysis |
title | Impact of the Ebola virus disease outbreak (2014–2016) on tuberculosis surveillance activities by Guinea’s National Tuberculosis Control Program: a time series analysis |
title_full | Impact of the Ebola virus disease outbreak (2014–2016) on tuberculosis surveillance activities by Guinea’s National Tuberculosis Control Program: a time series analysis |
title_fullStr | Impact of the Ebola virus disease outbreak (2014–2016) on tuberculosis surveillance activities by Guinea’s National Tuberculosis Control Program: a time series analysis |
title_full_unstemmed | Impact of the Ebola virus disease outbreak (2014–2016) on tuberculosis surveillance activities by Guinea’s National Tuberculosis Control Program: a time series analysis |
title_short | Impact of the Ebola virus disease outbreak (2014–2016) on tuberculosis surveillance activities by Guinea’s National Tuberculosis Control Program: a time series analysis |
title_sort | impact of the ebola virus disease outbreak (2014–2016) on tuberculosis surveillance activities by guinea’s national tuberculosis control program: a time series analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7405363/ https://www.ncbi.nlm.nih.gov/pubmed/32753044 http://dx.doi.org/10.1186/s12889-020-09230-2 |
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